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寻找并定义在活植物中起作用的天然自动机:迈向用于体内机器人技术和信息学的合成生物学。

Finding and defining the natural automata acting in living plants: Toward the synthetic biology for robotics and informatics in vivo.

作者信息

Kawano Tomonori, Bouteau François, Mancuso Stefano

机构信息

Faculty and Graduate School of Environmental Engineering; The University of Kitakyushu; Kitakyushu, Japan ; LINV @ Kitakyushu Research Center; Kitakyushu, Japan ; LINV @ Firenze; Department of Plant Soil and Environmental Science; University of Florence; Sesto Fiorentino, Italy ; Paris Interdisciplinary Energy Research Institute (PIERI); Paris, France.

出版信息

Commun Integr Biol. 2012 Nov 1;5(6):519-26. doi: 10.4161/cib.21805.

Abstract

The automata theory is the mathematical study of abstract machines commonly studied in the theoretical computer science and highly interdisciplinary fields that combine the natural sciences and the theoretical computer science. In the present review article, as the chemical and biological basis for natural computing or informatics, some plants, plant cells or plant-derived molecules involved in signaling are listed and classified as natural sequential machines (namely, the Mealy machines or Moore machines) or finite state automata. By defining the actions (states and transition functions) of these natural automata, the similarity between the computational data processing and plant decision-making processes became obvious. Finally, their putative roles as the parts for plant-based computing or robotic systems are discussed.

摘要

自动机理论是对抽象机器的数学研究,通常在理论计算机科学以及结合了自然科学和理论计算机科学的高度跨学科领域中进行研究。在本综述文章中,作为自然计算或信息学的化学和生物学基础,一些参与信号传导的植物、植物细胞或植物衍生分子被列出并归类为自然顺序机器(即米利机或摩尔机)或有限状态自动机。通过定义这些自然自动机的动作(状态和转移函数),计算数据处理与植物决策过程之间的相似性变得明显。最后,讨论了它们作为基于植物的计算或机器人系统部件的假定作用。

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